区块链为U-Healthcare提供隐私关键和时间敏感环境的边缘智能
IEEE journal of biomedical and health informatics
|October 6, 2025
概括
这项研究介绍了一种边缘智能和区块链系统,用于安全的健康监测. 它可以实时分析和保护敏感患者数据的隐私.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 网络安全 网络安全
背景情况:
- 边缘智能 (EI) 增强了隐私,并减少了人工智能系统中的延迟.
- 区块链集成提高了分布式系统的透明度和可靠性.
- 现有的EI架构在数据交互和存储方面面临着漏洞.
研究的目的:
- 为隐私关键的健康应用提出一个自主计算管道.
- 在基于边缘的健康监测中解决安全和隐私方面的挑战.
- 为了实现实时健康数据分析和安全数据管理.
主要方法:
- 开发了一个具有边缘网关 (EG) 交互拓的自主计算管道.
- 在EG中集成了一个数据交易处理器和隐私保证机制.
- 利用资源高效的一维卷积神经网络 (1D-CNN) 进行心律失常的分类.
- 实施了安全访问计划,用于链外和链内数据管理.
主要成果:
- 该系统支持持续监控,实时心率分析和警报通知.
- 一个1D-CNN模型在EGs上实现了准确的多类心律失常的分类.
- 安全访问计划有效地管理了数据共享和存储.
- 安全性,性能和成本分析验证了系统的效率和可靠性.
结论:
- 拟议的EI和区块链框架提高了卫生应用程序的隐私和可靠性.
- 该系统提供高效的,实时的健康数据处理与细粒度的访问控制.
- 这种方法为边缘敏感健康数据管理提供了强大的解决方案.
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